Evidence map›Paper›PMID 42404877›Full record

ArticleInternational journal of public health2026

Tool for identifying occupational exposures and risks in agriculture (TIERRA): application in coffee farming in Uganda.

Hannah Wey, Lena Jäggi, Aggrey Atuhaire, Felix Boos, Peter Ssekkadde, Sandra Abeine, Ruth Mubeezi, Samuel Fuhrimann

Abstract read
In one paragraph

Article in International journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hannah WeySwiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland.
Lena JäggiSwiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland.
Aggrey AtuhaireUganda National Association of Community and Occupational Health (UNACOH), Kampala, Uganda.
Felix BoosETH-Bereich Hochschulen, Zürich, Switzerland.
Peter SsekkaddeSwiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland.
Sandra AbeineIndependent Researcher, Kampala, Uganda.
Ruth MubeeziMakerere University College of Health Sciences, Kampala, Uganda.
Samuel FuhrimannSwiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study developed a practical, context-sensitive assessment tool to prioritize occupational risks in agriculture (TIERRA). We applied TIERRA in a case study with smallholder coffee farmers in Uganda (FarmCoUganda) to demonstrate its effectiveness. Methods: TIERRA follows a stepwise, participatory process beginning with an inventory of 80 occupational hazards, reviewed by local experts for clarity and prioritized by community stakeholders through a Delphi workshop. Participants rate the likelihood, severity, and risk of hazards. In the Ugandan case study, 31 stakeholders rated 59 hazards relevant to smallholder coffee farmers in Mbale District. Results: Stakeholders prioritized 23 hazards across six categories: biological, chemical, ergonomic, and physical hazards, each comprising three items, plus five environmental and six psychosocial hazards. "Contact with a pesticide" received the highest overall risk score. "Mosquito bites" emerged as the most significant biological risk. Ergonomic hazards received the highest categorical risk rating. Conclusion: TIERRA fosters stakeholder ownership and facilitates dialogue toward action. It supports the development of tailored farmer surveys, training and safer working conditions. It offers a methodological blueprint for adaptation across diverse agricultural contexts, including in LMICs.

Indexed as

AgricultureCoffeeFarmersOccupational ExposureDelphi TechniqueHumansRisk AssessmentUgandaWorking ConditionsCoffeeDelphioccupational hazardsprioritizationsmallholder farmersstakeholder engagement

Identifiers

PMID42404877
PMCPMC13329147

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.